# seo_helpers.py
import html
import json
import re # Добавляем импорт re
from typing import Dict, List, Any, Optional
def generate_resume_seo_tags(resume_data: Dict[str, Any], resume_id: int) -> Dict[str, str]:
"""
Генерация SEO-тегов для страницы резюме
Args:
resume_data: данные резюме из базы
resume_id: ID резюме
Returns:
Dict с SEO-тегами
"""
# Декодируем и экранируем данные
full_name = html.escape(resume_data.get("full_name", "") or "")
name_parts = full_name.split(' ')
first_name = name_parts[0] if name_parts else ''
last_name = ' '.join(name_parts[1:]) if len(name_parts) > 1 else ''
position = html.escape(resume_data.get("desired_position", "Специалист") or "Специалист")
salary = html.escape(resume_data.get("desired_salary", "Зарплата не указана") or "Зарплата не указана")
about = html.escape(
resume_data.get("about_me", "Профессиональный опыт и навыки") or "Профессиональный опыт и навыки")
# Формируем описание
experience_count = len(resume_data.get("work_experience", []))
tags = resume_data.get("tags", [])
skills_list = ', '.join(tags) if tags else ''
short_about = about[:157] + '...' if len(about) > 160 else about
seo_description = f"{full_name} - {position}. {salary}. Опыт работы: {experience_count} мест. Навыки: {skills_list}. {short_about}"
seo_description = seo_description[:320]
# Формируем ключевые слова
keywords = f"{full_name}, {position}, резюме, поиск сотрудников, навыки: {skills_list[:200]}"
# Формируем структурированные данные
work_experience_json = []
for exp in resume_data.get("work_experience", []):
period = exp.get("period", "")
period_parts = period.split('–') if period else []
work_experience_json.append({
"@type": "OrganizationRole",
"roleName": exp.get("position", ""),
"startDate": period_parts[0] if len(period_parts) > 0 else None,
"endDate": period_parts[1] if len(period_parts) > 1 else None,
"organization": {"@type": "Organization", "name": exp.get("company", "")}
})
education_json = []
for edu in resume_data.get("education", []):
education_json.append({
"@type": "EducationalOccupationalCredential",
"credentialCategory": "Degree",
"name": edu.get("specialty", ""),
"educationalLevel": edu.get("institution", ""),
"dateCreated": edu.get("graduation_year", "")
})
structured_data = {
"@context": "https://schema.org",
"@type": "Person",
"name": full_name,
"jobTitle": position,
"description": resume_data.get("about_me", ""),
"worksFor": work_experience_json,
"alumniOf": education_json,
"knowsAbout": tags,
"url": f"https://yarmarka.rabota.today/resume/{resume_id}"
}
return {
"title": f"{full_name} - {position} | Rabota.Today",
"description": seo_description,
"keywords": keywords,
"og_title": f"{full_name} - {position}",
"og_description": seo_description[:300],
"og_url": f"https://yarmarka.rabota.today/resume/{resume_id}",
"profile_first_name": first_name,
"profile_last_name": last_name,
"twitter_title": f"{full_name} - {position}",
"twitter_description": seo_description[:300],
"canonical_url": f"https://yarmarka.rabota.today/resume/{resume_id}",
"structured_data": json.dumps(structured_data, ensure_ascii=False, indent=2)
}
def generate_vacancy_seo_tags(vacancy_data: Dict[str, Any], vacancy_id: int) -> Dict[str, str]:
"""
Генерация SEO-тегов для страницы вакансии
Args:
vacancy_data: данные вакансии из базы
vacancy_id: ID вакансии
Returns:
Dict с SEO-тегами
"""
# Декодируем и экранируем данные
title = html.escape(vacancy_data.get("title", "") or "")
company = html.escape(vacancy_data.get("company_name", "Компания") or "Компания")
salary = html.escape(vacancy_data.get("salary", "Зарплата не указана") or "Зарплата не указана")
description = html.escape(
vacancy_data.get("description", "Подробная информация о вакансии") or "Подробная информация о вакансии")
# Формируем описание
tags = vacancy_data.get("tags", [])
tags_str = ', '.join(tags) if tags else ''
short_description = description[:157] + '...' if len(description) > 160 else description
seo_description = f"{title} в компании {company}. {salary}. {short_description}"
seo_description = seo_description[:320]
# Формируем ключевые слова
keywords = f"{title}, {company}, вакансия, работа, {tags_str}"
# Формируем структурированные данные для вакансии
salary_value = 0
if salary:
# Используем re для поиска чисел
salary_match = re.search(r'(\d+)', salary)
if salary_match:
salary_value = int(salary_match.group(1))
structured_data = {
"@context": "https://schema.org",
"@type": "JobPosting",
"title": title,
"description": description,
"datePosted": vacancy_data.get("created_at"),
"validThrough": vacancy_data.get("valid_through"),
"employmentType": "FULL_TIME",
"hiringOrganization": {
"@type": "Organization",
"name": company,
"sameAs": vacancy_data.get("company_website", ""),
"logo": vacancy_data.get("company_logo", "https://yarmarka.rabota.today/static/images/logo.png")
},
"jobLocation": {
"@type": "Place",
"address": {
"@type": "PostalAddress",
"addressLocality": vacancy_data.get("company_address", "Москва"),
"addressCountry": "RU"
}
},
"baseSalary": {
"@type": "MonetaryAmount",
"currency": "RUB",
"value": {
"@type": "QuantitativeValue",
"value": salary_value,
"unitText": "MONTH"
}
},
"workHours": "Полный день"
}
return {
"title": f"{title} в {company} | Rabota.Today",
"description": seo_description,
"keywords": keywords,
"og_title": f"{title} в {company}",
"og_description": seo_description[:300],
"og_url": f"https://yarmarka.rabota.today/vacancy/{vacancy_id}",
"twitter_title": f"{title} в {company}",
"twitter_description": seo_description[:300],
"canonical_url": f"https://yarmarka.rabota.today/vacancy/{vacancy_id}",
"structured_data": json.dumps(structured_data, ensure_ascii=False, indent=2)
}
def inject_seo_tags(html_template: str, seo_tags: Dict[str, str]) -> str:
"""
Внедрение SEO-тегов в HTML шаблон
Args:
html_template: исходный HTML
seo_tags: словарь с SEO-тегами
Returns:
HTML с замененными SEO-тегами
"""
replacements = {
'Резюме | Rabota.Today': f'{seo_tags.get("title", "Rabota.Today")}',
'Вакансия | Rabota.Today': f'{seo_tags.get("title", "Rabota.Today")}',
'', desc_start)
if desc_end != -1:
result = result[
:desc_start] + f'' + result[
desc_end + 2:]
if 'keywords' in seo_tags:
keywords_pattern = '', keywords_start)
if keywords_end != -1:
result = result[:keywords_start] + f'' + result[
keywords_end + 2:]
if 'og_title' in seo_tags:
og_title_pattern = '', og_title_start)
if og_title_end != -1:
result = result[
:og_title_start] + f'' + result[
og_title_end + 2:]
if 'og_description' in seo_tags:
og_desc_pattern = '', og_desc_start)
if og_desc_end != -1:
result = result[
:og_desc_start] + f'' + result[
og_desc_end + 2:]
if 'og_url' in seo_tags:
og_url_pattern = '', og_url_start)
if og_url_end != -1:
result = result[:og_url_start] + f'' + result[
og_url_end + 2:]
if 'profile_first_name' in seo_tags:
first_name_pattern = '', first_name_start)
if first_name_end != -1:
result = result[
:first_name_start] + f'' + result[
first_name_end + 2:]
if 'profile_last_name' in seo_tags:
last_name_pattern = '', last_name_start)
if last_name_end != -1:
result = result[
:last_name_start] + f'' + result[
last_name_end + 2:]
if 'twitter_title' in seo_tags:
twitter_title_pattern = '', twitter_title_start)
if twitter_title_end != -1:
result = result[
:twitter_title_start] + f'' + result[
twitter_title_end + 2:]
if 'twitter_description' in seo_tags:
twitter_desc_pattern = '', twitter_desc_start)
if twitter_desc_end != -1:
result = result[
:twitter_desc_start] + f'' + result[
twitter_desc_end + 2:]
if 'canonical_url' in seo_tags:
canonical_pattern = '', canonical_start)
if canonical_end != -1:
result = result[
:canonical_start] + f'' + result[
canonical_end + 2:]
# Вставляем структурированные данные
if 'structured_data' in seo_tags:
structured_pattern = '', structured_start)
if structured_end != -1:
result = result[
:structured_start] + f'\n